cinelerra-5.1/plugins/histogram/histogramconfig.C

   1
   2 /*
   3  * CINELERRA
   4  * Copyright (C) 1997-2011 Adam Williams <broadcast at earthling dot net>
   5  *
   6  * This program is free software; you can redistribute it and/or modify
   7  * it under the terms of the GNU General Public License as published by
   8  * the Free Software Foundation; either version 2 of the License, or
   9  * (at your option) any later version.
  10  *
  11  * This program is distributed in the hope that it will be useful,
  12  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  13  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  14  * GNU General Public License for more details.
  15  *
  16  * You should have received a copy of the GNU General Public License
  17  * along with this program; if not, write to the Free Software
  18  * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
  19  *
  20  */
  21
  22 #include "clip.h"
  23 #include "histogramconfig.h"
  24 #include "units.h"
  25
  26 #include <math.h>
  27
  28
  29
  30 HistogramConfig::HistogramConfig()
  31 {
  32         plot = 1;
  33         split = 0;
  34         sum_frames = 0;
  35         reset(1);
  36 }
  37
  38 void HistogramConfig::reset(int do_mode)
  39 {
  40         for(int i = 0; i < HISTOGRAM_MODES; i++)
  41         {
  42                 low_input[i] = 0.0;
  43                 high_input[i] = 1.0;
  44                 low_output[i] = 0.0;
  45                 high_output[i] = 1.0;
  46                 gamma[i] = 1.0;
  47         }
  48
  49         if(do_mode)
  50         {
  51                 automatic = 0;
  52                 threshold = 0.97;
  53         }
  54
  55         log_slider = .5;
  56 }
  57
  58 void HistogramConfig::reset_points(int colors_only)
  59 {
  60         for(int i = 0; i < HISTOGRAM_MODES; i++)
  61         {
  62                 if(i != HISTOGRAM_VALUE || !colors_only)
  63                 {
  64                         low_input[i] = 0.0;
  65                         high_input[i] = 1.0;
  66                 }
  67         }
  68 }
  69
  70
  71 void HistogramConfig::boundaries()
  72 {
  73         for(int i = 0; i < HISTOGRAM_MODES; i++)
  74         {
  75                 CLAMP(low_input[i], HIST_MIN_INPUT, HIST_MAX_INPUT);
  76                 CLAMP(high_input[i], HIST_MIN_INPUT, HIST_MAX_INPUT);
  77                 CLAMP(low_output[i], HIST_MIN_INPUT, HIST_MAX_INPUT);
  78                 CLAMP(high_output[i], HIST_MIN_INPUT, HIST_MAX_INPUT);
  79                 CLAMP(gamma[i], MIN_GAMMA, MAX_GAMMA);
  80                 low_output[i] = Units::quantize(low_output[i], PRECISION);
  81                 high_output[i] = Units::quantize(high_output[i], PRECISION);
  82         }
  83         CLAMP(threshold, 0, 1);
  84         CLAMP(log_slider, 0, 1);
  85 }
  86
  87 int HistogramConfig::equivalent(HistogramConfig &that)
  88 {
  89 // EQUIV isn't precise enough to detect changes in points
  90         for(int i = 0; i < HISTOGRAM_MODES; i++) {
  91 //              if(!EQUIV(low_input[i], that.low_input[i]) ||
  92 //                      !EQUIV(high_input[i], that.high_input[i]) ||
  93 //                      !EQUIV(gamma[i], that.gamma[i]) ||
  94 //                      !EQUIV(low_output[i], that.low_output[i]) ||
  95 //                      !EQUIV(high_output[i], that.high_output[i])) return 0;
  96                 if( low_input[i] != that.low_input[i] ||
  97                     high_input[i] != that.high_input[i] ||
  98                     gamma[i] != that.gamma[i] ||
  99                     low_output[i] != that.low_output[i] ||
 100                     high_output[i] != that.high_output[i] ) return 0;
 101         }
 102
 103         if( automatic != that.automatic ||
 104             threshold != that.threshold ) return 0;
 105
 106         if( plot != that.plot ||
 107             split != that.split ||
 108             sum_frames != that.sum_frames ||
 109             log_slider != that.log_slider ) return 0;
 110
 111         return 1;
 112 }
 113
 114 void HistogramConfig::copy_from(HistogramConfig &that)
 115 {
 116         for(int i = 0; i < HISTOGRAM_MODES; i++)
 117         {
 118                 low_input[i] = that.low_input[i];
 119                 high_input[i] = that.high_input[i];
 120                 gamma[i] = that.gamma[i];
 121                 low_output[i] = that.low_output[i];
 122                 high_output[i] = that.high_output[i];
 123         }
 124
 125         automatic = that.automatic;
 126         threshold = that.threshold;
 127         plot = that.plot;
 128         split = that.split;
 129         sum_frames = that.sum_frames;
 130         log_slider = that.log_slider;
 131 }
 132
 133 void HistogramConfig::interpolate(HistogramConfig &prev, HistogramConfig &next,
 134                 int64_t prev_frame, int64_t next_frame, int64_t current_frame)
 135 {
 136         double next_scale = (double)(current_frame - prev_frame) / (next_frame - prev_frame);
 137         double prev_scale = 1.0 - next_scale;
 138
 139         for( int i=0; i<HISTOGRAM_MODES; ++i ) {
 140                 low_input[i] = prev.low_input[i] * prev_scale + next.low_input[i] * next_scale;
 141                 high_input[i] = prev.high_input[i] * prev_scale + next.high_input[i] * next_scale;
 142                 gamma[i] = prev.gamma[i] * prev_scale + next.gamma[i] * next_scale;
 143                 low_output[i] = prev.low_output[i] * prev_scale + next.low_output[i] * next_scale;
 144                 high_output[i] = prev.high_output[i] * prev_scale + next.high_output[i] * next_scale;
 145         }
 146
 147         threshold = prev.threshold * prev_scale + next.threshold * next_scale;
 148         automatic = prev.automatic;
 149         plot = prev.plot;
 150         split = prev.split;
 151         sum_frames = prev.sum_frames;
 152         log_slider = prev.log_slider;
 153 }
 154
 155
 156 void HistogramConfig::dump()
 157 {
 158         for( int j=0; j<HISTOGRAM_MODES; ++j ) {
 159                 printf("HistogramConfig::dump mode=%d plot=%d split=%d sum_frames=%d\n",
 160                         j, plot, split, sum_frames);
 161         }
 162 }
 163